Method, device and software package for locally determining the shape of geological horizons

ABSTRACT

The invention concerns a method for locally determining a profile of geological horizons comprising a step ( 100 ) which consists in digital modelling with continuous local seismic traces, calculating an optimal offset and defining a conditional neighbourhood of a reference central continuous local seismic trace; a step ( 101 ) which consists in defining residuals relative to said reference central continuous local seismic trace; a third step ( 102 ) which consists in minimizing the set of residuals on said conditional neighbourhood and a fourth step ( 103 ) which consists in determining parametric coefficients corresponding to the minimization of the set of residuals on the conditional neighbourhood carried out at step ( 102 ).

The invention relates to a process for locally determining the shape of geological horizons from data obtained by processing seismic measurements.

The invention also relates to a device to determine locally the shape of geological horizons from data obtained by processing seismic measurements.

Finally, the invention relates to a computer software package permitting the operation of a programmable device according to the invention, for the practice of a process according to the invention.

U.S. Pat. No. 6,151,555 relates to a process for processing seismic signals and a device for the determination of a cube of variance value. This process provides for computing for each node of three-dimensional seismic matrix a variance value equal to the variance of the seismic amplitudes adjacent the node in question. The vicinity of the node in question is a subset of the nodes of the three-dimensional matrix whose distance to the node in question is less than a selected threshold. This process relies on the hypothesis that the variance value thus defined is important for nodes near a discontinuity.

The document WO 99/64896 discloses a process for interpretation of seismic data, particularly adapted to identify the limits of hydrocarbon reservoirs.

A first object of the invention is to improve the analyses of the profile of the geometric horizons.

A second object of the invention is to facilitate the determination of the unitary vectors normal to the horizons of a three-dimensional seismic cube.

A third object of the invention is to facilitate the determination of an index of curvature of the horizons in a three-dimensional seismic cube.

The invention has for its object a process for locally determining the shape of geological horizons, in which there is constructured a continuous function S_(ij,k)(t) by interpolation or approximation of the discrete seismic traces of a three-dimensional seismic matrix, said function being designated as “continuous local seismic trace”, comprising the following steps:

-   -   a). using as optimum offset of two adjacent continuous local         seismic traces, the offset value rendering maximal their         correlation function;     -   b). taking as conditional neighborhood a “central” continuous         local seismic trace S_(ij,k)(t), said neighborhood consisting in         adjacent traces S_(pq,k)(t) corresponding to optimum offsets         associated with correlations R_(ij,pq,k)(h) greater than a         predetermined threshold comprised between 0 and 1;     -   c). defining for each continuous local seismic trace S_(pq,k)(t)         of the conditional neighborhood a residual value relative to         said “central” continuous local seismic trace S_(ij,k)(t)         comprising parametric coefficients;     -   d). determining the parametric coefficients by minimizing a set         of residuals on the conditional neighborhood.

According to other characteristics of the invention:

-   -   the residual values of step c) are absolute values of         differential parametric shape, for example         ρ_(ij,pq,k)=|α_(ij,k)·(p−i)+b_(ij,k)·(q−j)−h_(ij,pq,k)|, in         which a_(ij,k) and b_(ij,k) are parameters and h_(ij,pq,k) is         the optimum offset maintained between the “central” continuous         local seismic trace S_(ij,k)(t) and an adjacent continuous local         seismic trace S_(pq,k)(t),     -   minimizing the set of residuals ρ_(ij,pq,k) on the conditional         neighborhood by a minimization of a sum of powers of the         residuals of the following type         ${{C^{\alpha}\left( {i,j,k} \right)} = {\sum\limits_{p,q}\left( \rho_{{ij},{pq},k} \right)^{\alpha}}},$         in which α is a power greater than or equal to 1,

As the case may be, each term (ρ_(ij,pq,k))^(α) of this sum can be weighted by an increasing functional factor of the correlation coefficient P_(ij,pq,k)(h_(ij,pq,k)).

-   -   the coefficients a_(ij,k) and b_(ij,k) determined in step d) are         used to define a unitary vector N(i,j,k) of coordinates         N^(x)(i,j,k), N^(y)(i,j,k), N^(t)(i,j,k), for example of the         form:         ${N^{x}\left( {i,j,k} \right)} = \frac{a_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$         ${N^{y}\left( {i,j,k} \right)} = \frac{b_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$         ${N^{t}\left( {i,j,k} \right)} = \frac{1}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} - 1}}$     -   and there is chosen this unitary vector as a “normal” unitary         vector orthogonal to the horizon at the node (i, j, k),     -   the set of normal unitary vectors N(i, j, k) is used to define         the field of normal unitary vectors, for the display on a screen         of the profiles of the seismic horizons,     -   there is selected as the index of curvature an increasing         function of the residuals comprising the parametric coefficients         determined in step d).

The invention also has for its object a device for practicing the process according to the invention, comprising means to use as optimum offset of two adjacent continuous local seismic traces, the offset value rendering maximal their correlation function, means to take as the conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t), the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets associated with correlations R_(ij,pq,k)(h) greater than a predetermined threshold comprised between 0 and 1, means to define for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients, and means to determine the parametric coefficients by minimization of the set of residuals on the conditional neighborhood.

According to other characteristics of the invention:

-   -   the device comprises memorization means and means for         visualizing predetermined seismic parameters with the help of         the process according to the invention.

The invention finally has for its object a computer software package, comprising elements of program code to execute the steps of a process according to the invention, when said program is executed by a computer.

The invention will be better understood from the description which follows, given by way of non-limiting example, with reference to the accompanying drawings, in which:

FIG. 1 represents schematically a three-dimensional seismic matrix and a continuous local seismic trace.

FIG. 2 represents schematically an example of local neighborhood N_(ij,k) consisting of a set of continuous local seismic traces S_(pq,k)(t) adajcent the central reference trace S_(ij,k)(t) itself located on the vertical of the geophone G_(ij) and interpolating the seismic amplitudes about t=k.

FIG. 3 represents schematically a vertical cross-section of conditional local neighborhood N_(ij,k)(r) of a continuous reference local seismic trace S_(ij,k)(t).

FIG. 4 shows schematically a vertical cross-section of a three-dimensional seismic matrix with optimum offset h_(ij,pq,k) and a conditional neighborhood N_(ij,k)(r).

FIG. 5 represents schematically a vertical cross-section of a three-dimensional seismic matrix analogous to FIG. 4, with the presence of a fault or discontinuity.

FIG. 6 represents schematically a functional diagram of a process according to the invention.

With reference to FIGS. 1 to 5, identical or functional equivalent elements are designated by the same reference numerals.

In FIG. 1, a three-dimensional seismic matrix is obtained by reading measurements recorded by geophones G_(ij) disposed on a network x,y at coordinate points i,j. The reading of the sampled measurements time-wise is represented along a descending axis t representative of the depth or of a vertical descent from the surface of the ground or the sea. The measurements are characterized by their amplitude, for example an amplitude read by the geophone G^(ij) at the time or at the sampling depth t_(k). The discrete measurement carried out by the geophone G_(ij) as to time or depth tk is called the seismic amplitude S_(ij,k).

The set of seismic amplitudes corresponding to a geophone G_(ij) of coordinates i,j is a uni-dimensional matrix (S_(ij1), S_(ij2), . . . , S_(ijk), . . . , S_(ijN)) called a discrete seismic trace, because this uni-dimensional matrix corresponds to the trace according to the point of horizontal coordinates i,j of the three-dimensional seismic matrix obtained by seismic measurements.

The vertical axis t oriented along a descending vertical, usually designates time, but can also be considered as representing a depth from the surface.

The invention also relates to the application of a third coordinate t representative of time, as well as a third coordinate t representative of depth.

From the discrete seismic trace located on the vertical of a geophone G_(ij) there is defined, by interpolation or approximation, discrete values about t=t_(k)=k, a continuous function S_(ij,k)(t) which is designated as “continuous local seismic trace”. The methods of approximation or interpolation of discrete values to give rise to a continuous function are numerous, and comprise particularly polynomial interpolations or approximations, as well as polynomial trigonometric approximations or interpolations.

Any other modification of interpolation or approximation providing a continuous function can also be used in the present invention to provide a “continuous local seismic trace”.

In FIG. 2, several continuous local seismic traces define an example of neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) as a reference. The neighborhood of a continuous local seismic trace S_(ij,k)(t) is defined as the set of continuous local seismic traces whose horizontal spatial indices p,q are adjacent horizontal spatial indices i,j of the reference continuous local seismic trace.

By way of example, the horizontal spatial coordinates p,q corresponding to the geophone G_(pq) are adjacent horizontal spatial coordinates i, j corresponding to the geophone G_(ij) if the absolute values of the differences i-p and j-q are less than given whole numbers, for example 2.

In this case, as shown in FIG. 2, the continuous local seismic trace S_(ij,k)(t) is associated with eight adjacent continuous local seismic traces surrounding the “central” continuous local seismic trace S_(ij,k)(t).

In the case of continuous local seismic traces produced by seismic measurements, the shape of the geological horizons introduces vertical offsets between adjacent continuous local seismic traces. So as to determine the relationships between two adjacent local continuous seismic traces S_(ij,k)(t) and S_(pq,k)(t) centered on the same vertical sampling coordinate t=t_(k)=k and corresponding to different spatial coordinates i,j and p,q, there can be calculated the correlation function R_(ij,pq,k)(h) of the two continuous local seismic traces.

The correlation function of two adjacent continuous local seismic traces is obtained by the following formula ${R_{{ij},{ij},k}(h)} = \frac{C_{{ij},{pq},k}(h)}{\sqrt{{C_{{ij},{ij},k}(0)},{C_{{pq},{pq},k}(0)}}}$

-   -   in which the numerator corresponds to the covariance function of         S_(ij,k)(t) and S_(pq,k)(t) obtained by the following expression         C_(ij, pq, k)(h) = ∫_(tk − Δ)^(tk + Δ)S_(ij, k)(t) ⋅ S_(pq, k)(t + h)⋅  𝕕t.         In this integral defining C_(ij,pq,k)(h), the parameter Δ         defines a “vertical investigation window” about t=t_(k)=k.

For example, if the continuous local seismic traces S_(ij,k)(t) and S_(pq,k)(t) are trigonometric polynomials of the following form, interpolating seismic data ${{S_{{ij},k}(t)} = {\sum\limits_{g = 1}^{m}\quad a_{s}^{{ij},k}}},{{\cos\left( {s\quad\omega\quad t} \right)} + b_{s}^{{ij},k}},{\sin\left( {s\quad\omega\quad t} \right)}$ ${{S_{{ij},k}(t)} = {\sum\limits_{g = 1}^{m}\quad a_{s}^{{ij},k}}},{{\cos\left( {s\quad\omega\quad t} \right)} + b_{s}^{{ij},k}},{\sin\left( {s\quad\omega\quad t} \right)}$ then it can be shown that the covariance function C_(ij,pq,k)(h) is itself a trigonometric polynomial of the following form in which the coefficients A_(a) ^(ij,pq,k) and B_(s) ^(ij,pq,k) depend on the coefficients a_(s) ^(ij,k), a_(s) ^(pq,k) and b_(s) ^(pq,k): ${{C_{{ij},{pq},k}(h)} = {\sum\limits_{g = 1}^{m}\quad A_{s}^{{ij},{pq},k}}},{{\cos\left( {s\quad\omega\quad h} \right)} + B_{s}^{{ij},{pq},k}},{\sin\left( {s\quad\omega\quad h} \right)}$ A conventional and known mathematical result is that the correlation function ${R_{{ij},{pq},k}(h)} = \frac{C_{{ij},{pq},k}}{\sqrt{{C_{{ij},{ij},k}(0)} \cdot {C_{{pq},{pq},k}(0)}}}$ translates a similarity of correlated functions when this correlation function is near 1.

The study of the correlation functions of the continuous local seismic traces S_(ij,k)(t) and S_(pq,k)(t) permits defining as optimum offset the value h_(ij,pq,k), of h corresponding to the maximum of the correlation function R_(ij,pq,k)(h), which is to say to the maximum of the correlation function nearest 1. Contrary to the existing art based on a discrete formulation of the correlation function R_(ij,pq,k)(h), the use of a continuous formulation of the seismic traces and hence of the correlation function permits obtaining optimum offset which is not necessarily a whole multiple of the sampling step along the vertical axis corresponding to the variable t.

The definition of the optimum offset h_(ij,pq,k) of two adjacent continuous local seismic traces permits obtaining a first approximation of the horizons passing through this reference continuous local seismic trace S_(ij,k)(t), as shown in FIGS. 3 to 5. Contrary to the prior art, the fact of using optimum offsets which are not required to be a whole multiple of the sampling interval along the vertical axis, permits avoiding errors known as “aliasing”.

In these FIGS. 3 to 5, there is defined a conditional neighborhood N_(ij,k)(r) of the reference local continuous seismic trace S_(ij,k)(t) which is a sub-neighborhood of the initial neighborhood of the continuous local seismic traces used in the computation of correlation and of definition of the optimum offsets. The conditional neighborhood N^(ij,k)(r) is selected such that, for any local continuous seismic trace S_(pq,k)(t) belonging to N_(ij,k)(r), the corresponding optimum offset h_(ij,pq,k) is such that the correlation R_(ij,pq,k)(h_(ij,pq,k)) between S_(ij,k)(t) and S_(pq,k)(t) is greater than a predetermined threshold r comprised between 0 and 1.

As is seen in FIG. 5, the fixing of the threshold r also permits including in a conditional neighborhood a geological discontinuity or halt which constitutes an important advantage relative to the prior art.

The mentioned arrangements thus provide a continuous modelization permitting use of the invention.

In FIG. 6, the digital modelization described in reference to FIGS. 1 to 5 is carried out in step 100 to use a process according to the invention.

After this step 100 of digital modeling, there is defined in step 101, for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood N_(ij,k)(r), a value of residual relative to said reference central continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients.

The value of the selected residual ρ_(ij,pq,k) translates the variation between the horizon at the vertical of the geophone G_(pq) and the plane tangent to the horizon at the vertical of the geophone G_(ij).

By way of non-limiting example, there can be defined as the residual value an absolute value of differential parametric shape, of the type:

ρ_(ij,pq,k)=|α_(ij,k)·(p−i)+b_(ij,k)·(q−j)−h_(ij,pq,k)|, in which a_(ij,k) and b_(ij,k) are parameters and h_(ij,pq,k) is the optimum offset maintained between the “central” continuous local seismic trace S_(ij,k)(t) and an adjacent continuous local seismic trace S_(pq,k)(t).

After having defined the set of residuals on the conditional neighborhood N_(ij,k)(r), there are determined the parameters a_(ij,k) and b_(ij,k) which correspond to a minimization of the set of residuals ρ_(ij,pq,k) on the conditional neighborhood in step 102.

The criteria of minimization selected is arbitrary, and can for example comprise a minimization of a sum of power greater than 1 of the residuals, of the form ${{C^{\alpha}\left( {i,j,k} \right)} = {\sum\limits_{p,q}\left( \rho_{{ij},{pq},k} \right)^{a}}},$ in which n is a real positive power greater than 1.

As the case may be, each term (ρ_(ij,pq,k))^(α) of this sum can be weighted by an increasing functional factor of the coefficient of correlation P_(ij,pq,k)(h_(ij,pq,k)).

The minimization carried out in step 102 produces as a result in step 103 the best estimation of the coefficients a_(ij,k) and b_(ij,k) which are directing coefficients of the horizon passing through the point of horizontal coordinates i,j and of the time coordinate or depth coordinate k.

In step 104, according to a first modification of the invention, there are determined the unitary vectors normal to the horizon passing through the spatial coordinate i, j and time coordinate or depth coordinate k by formulae of known type: ${N^{x}\left( {i,j,k} \right)} = \frac{a_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$ ${N^{y}\left( {i,j,k} \right)} = \frac{b_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$ ${N^{t}\left( {i,j,k} \right)} = \frac{1}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} - 1}}$

The normal unitary vector thus obtained or any vector which is parallel to it, permits a visualization which is more effective than the visualizations of the prior art, so as to give seismic parameters and profiles of geometric horizons with improved contrast relative to the prior art.

For another modification of the invention in step 105, there is selected as the index of horizon curvature at the point of spatial coordinates i, j and of the time coordinate or depth coordinate k, an increasing function of the residuals comprising the coefficients a_(ij,k) and b_(ij,k) determined in step 103.

There can particularly be used as the indicator or index of curvature the minimization criterion ${{C^{\alpha}\left( {i,j,k} \right)} = {\sum\limits_{p,q}\left( \rho_{{ij},{pq},k} \right)^{\alpha}}},$ used to compute the parametric coefficients a_(ij,k) and b_(ij,k) determined in step 103.

There can also be used without departing from the scope of the present invention, any other increasing function of the residuals on the conditional neighborhood N_(ij,k)(r).

Thus, in the case in which the horizon is perfectly flat in the neighborhood or point of spatial coordinates i,j and of time or depth coordinate k, all increasing functions of the residuals will be equal to zero and the local index of curvature will as a result also be zero.

On the contrary, in the case in which the horizon at the point of spatial coordinates i,j and of time or depth coordinate k is not flat, the index of curvature calculated in step 105 of the process according to the invention provides an indication or measurement of the difference between the horizon in question and the locally osculating plane at the point of spatial coordinates i,j and of time or depth coordinate k.

The invention also permits by the computation of the index of curvature and its graphical representation on a screen, to improve the contrast of the seismic measurements provided by geophones in the form of a three-dimensional seismic matrix and thereby to avoid additional seismic measurements in the region of geological discontinuities or faults.

The preferred practice of a process according to the invention consists in using a device for the practice of the process containing a computer software package executing the steps of the process according to the invention described with reference to FIGS. 1 to 6.

To this end, the device according to the invention is provided with suitable memorizing means to memorize and compute the successive elements used in the process according to the invention.

Preferably, the practice of the process according to the invention takes place at a work station for seismic computations by loading a software package according to the invention comprising elements of program code to execute the steps of the process according to the invention.

The software package can comprise program code elements relating to steps 100, 101, 102, 103 and 104 described with reference to FIG. 6.

Alternatively, the software package according to the invention can comprise program codes elements to execute steps 100, 101, 102, 103 and 105 described with reference to FIG. 6.

According to other modifications, a computer software package according to the invention can also comprise program code elements to execute at least the set of process steps described with reference to FIG. 6.

The invention described with reference to several embodiments is in no way thus limited, but covers on the contrary any modification of form and all variations of practice, including or not the presentation of intermediate results on a visualization screen. 

1. Process to determine locally the shape of geological horizons, in which there is constructed a continuous function S_(ij,k)(t) by interpolation or approximation of the discrete seismic traces of a three-dimensional seismic matrix, said S_(ij,k)(t)'s function being designated as a “continous local seismic trace”, comprising the following steps: a). using as optimum offset of two adjacent continuous local seismic traces, the value of offset rendering maximal their correlation function, with optimal offset not being necessarily a whole multiple of the vertical sampling interval; b). taking as conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets h_(ij,pq,k) associated with correlations R_(ij,pq,k)(h_(ij,pq,k)) greater than a predetermined threshold comprised between 0 and 1; c). defining for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood, a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients; d). determining the parametric coefficients a_(ij,k) and b_(ij,k) by minimization of a set of residuals on the conditional neighborhood.
 2. Process according to claim 1, in which the residual values of step c) are absolute values of parametric differential form, for example ρ_(ij,pq,k)=|α_(ij,k)·(p−i)+b_(ij,k)·(q−j)−h_(ij,pq,k)|, in which a_(ij,k) and b_(ij,k) are parameters and h_(ij,pq,k) is the optimum offset maintained between the “central” continuous local seismic trace S_(ij,k)(t) and an adjacent continuous local seismic trace S_(pq,k)(t).
 3. Process according to claim 1, in which the minimization of the assembly of residuals ρ_(ij,pq,k) on the conditional neighborhood comprises a minimization of a sum of powers of the residuals, of the form $\quad{{{C^{\alpha}\left( {i,j,k} \right)} = {\sum\limits_{p,q}\left( \rho_{{ij},{pq},k} \right)^{\alpha}}},}$ in which α is a power greater than
 1. 4. Process according to claim 1, in which the coefficients a_(ij,k) and b_(ij,k) determined in step b) are used to define a unitary vector N(i,j,k) of coordinates N^(x)(i,j,k), N^(y)(i,j,k), N^(t)(i,j,k), for example of the form: ${N^{x}\left( {i,j,k} \right)} = \frac{a_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$ ${N^{y}\left( {i,j,k} \right)} = \frac{b_{{ij},k}}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} + 1}}$ ${N^{t}\left( {i,j,k} \right)} = \frac{1}{\sqrt{\left( a_{{ij},k} \right)^{2} + \left( b_{{ij},k} \right)^{2} - 1}}$ and in which there is selected this unitary vector as normal unitary vector (orthogonal) to the horizon of the node (i, j, k).
 5. Process according to claim 4, in which there is used the set of normal unitary vectors N(i, j, k) to define the field of the normal unitary vectors, for the display on a screen of the seismic horizon profiles.
 6. Process according to, in which there is selected as the index of curvature an increase in function of the residuals comprising the parametric coefficients determined in step d).
 7. Device for practicing the process according to claim 1, comprising means to use as optimum offset of two adjacent continuous local seismic traces, the value of offset rendering maximum their correlation function, means to take as conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets associated with correlations R_(ij,pq,k)(h) greater than a predetermined threshold comprised between 0 and 1, means to define for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients, and means to determine the parametric coefficients by minimization of the set of residuals on the conditional neighborhood.
 8. Device according to claim 7, further comprising memorization means and visualization means of seismic parameters determined using the process to determine locally the shape of geological horizons.
 9. Computer software package, comprising program code elements to carry out the steps of the process according to claim 1, when said program is executed by a computer.
 10. Computer software package, comprising elements of program code to carry out the steps of the process according to claim 6, when said program is executed by a computer.
 11. Process according to claim 2, in which the minimization of the assembly of residuals ρ_(ij,pq,k) on the conditional neighborhood comprises a minimization of a sum of powers of the residuals, of the form
 12. Process according to claim 2, in which there is selected as the index of curvature an increase in function of the residuals comprising the parametric coefficients determined in step d).
 13. Process according to claim 3, in which there is selected as the index of curvature an increase in function of the residuals comprising the parametric coefficients determined in step d).
 14. Device for practicing the process according to claim 2, comprising means to use as optimum offset of two adjacent continuous local seismic traces, the value of offset rendering maximum their correlation function, means to take as conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets associated with correlations R_(ij,pq,k)(h) greater than a predetermined threshold comprised between 0 and 1, means to define for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients, and means to determine the parametric coefficients by minimization of the set of residuals on the conditional neighborhood.
 15. Device for practicing the process according to claim 3, comprising means to use as optimum offset of two adjacent continuous local seismic traces, the value of offset rendering maximum their correlation function, means to take as conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets associated with correlations R_(ij,pq,k)(h) greater than a predetermined threshold comprised between 0 and 1, means to define for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients, and means to determine the parametric coefficients by minimization of the set of residuals on the conditional neighborhood.
 16. Device for practicing the process according to claim 4, comprising means to use as optimum offset of two adjacent continuous local seismic traces, the value of offset rendering maximum their correlation function, means to take as conditional neighborhood of a “central” continuous local seismic trace S_(ij,k)(t) the sub-neighborhood consisting in adjacent traces S_(pq,k)(t) corresponding to optimum offsets associated with correlations R_(ij,pq,k)(h) greater than a predetermined threshold comprised between 0 and 1, means to define for each continuous local seismic trace S_(pq,k)(t) of the conditional neighborhood a value of residual relative to said “central” continuous local seismic trace S_(ij,k)(t) comprising parametric coefficients, and means to determine the parametric coefficients by minimization of the set of residuals on the conditional neighborhood.
 17. Computer software package, comprising program code elements to carry out the steps of the process according to claim 2, when said program is executed by a computer.
 18. Computer software package, comprising program code elements to carry out the steps of the process according to claim 3, when said program is executed by a computer.
 19. Computer software package, comprising program code elements to carry out the steps of the process according to claim 4, when said program is executed by a computer.
 20. Computer software package, comprising program code elements to carry out the steps of the process according to claim 5, when said program is executed by a computer. 